(Binary) Local Descriptors

ECCV'12 paper
on D-Brief, a learning-based fast binary local
descriptor. D-Brief is shorter than BRIEF (only 32 bits!),
is more discriminant, and requires the same computation
time; Source
code for D-Brief.

Learning Separable Filters

Learning Image Features for Linear Structure Segmentation

MICCAI'13 paper,
where we learn discriminative image features for
segmenting linear structure in medical images. These
features appear to perform significantly better than the
unsupervised features learned for the MICCAI'12 paper.

MICCAI'12
paper, where we learn image features using sparsity
constraints, for segmenting linear structure in medical
images.

Are Sparse Representations really Relevant for Classification?

CVPR'11 paper, in which we evaluate
the influence of sparsity constraints on recognition performances.